Open AccessSRM with 8/6 magnetic system topology for electric drive of mine battery electric locomotives: design and modelling
Author(s) -
В. Н. Антипов,
А. Д. Грозов,
А. В. Иванова
Publication year - 2022
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1211/1/012004
Subject(s) - switched reluctance motor , toolbox , battery (electricity) , matlab , electric vehicle , artificial neural network , reluctance motor , dc motor , magnetic reluctance , control engineering , engineering , computer science , topology (electrical circuits) , electric motor , electrical engineering , mechanical engineering , magnet , physics , artificial intelligence , rotor (electric) , power (physics) , quantum mechanics , operating system
The paper deals with the development and simulation results of the switched reluctance motor for electric drive of mine battery electric locomotives instead of the DRT-14 DC motor. The switched reluctance motor parameters are obtained based on numerical calculation of the magnetic field by QuickField program and are embedded in MATLAB/Simulink model of a switched reluctance motor created for 8/6 magnetic system configuration. SRM-14-615 has the mechanical characteristics as DC motor DRT-14 and meets the required operating modes as part of the AM8D mine battery electric locomotive. Also two types of models using methods and techniques of the artificial intelligence theory are presented: a model with a fuzzy control system in the Fuzzy Logic Toolbox package and a model with a neural network control system in the Neural Network Toolbox package.